检索结果-内蒙古大学图书馆

Renewable Energy and Power Quality Journal 2023年 21卷 337-344页

作者： Lopes, M.E. Azevedo, G.F. Menezes, B.A. Rabelo, O.H.F. Brito, L.B. Dias, A.B. Filho, A.L.F. Domingues, E.G. Department of Electrical Engineering University of Brasília Darcy Ribeiro University Campus Gleba A Avenida L3 Norte DF Brasília70.910-900 Brazil Electrical Engineering/Control and Automation Engineering Program Federal Institute of Goiás Câmpus Goiânia Rua 75 nº46-Centro GO Goiânia74055-110 Brazil

This study aims to present the results of the application of a computational tool developed to perform a technical-economic feasibility analysis of large-scale Parabolic Trough Collectors (PTC) solar power plants in Brazil. The gross revenue from cash flow is obtained through an energy trading model for the Regulated Contracting Environment of the Brazilian Electricity Market. The economic viability analysis uses the Net Present Value, Modified Internal Rate of Return, Discounted Payback, and Levelized Cost of Energy indicators. The parametric structural optimization method is used to optimize the technical parameters of the plant. A case study was conducted to analyse the feasibility of implementing a 100 MW PTC in the five regions of Brazil. The results indicated that the best region in Brazil to receive this technology is the northeastern region. However, the project is economically unfeasible in all cities analysed. Therefore, a sensitivity analysis of the main parameters that affect the project's net present value is carried out to evaluate the impact of the economic parameters on the economic viability of an optimized PTC plant located in the city with the best technical performance. An optimistic scenario was evaluated considering the system's response to the parameters investigated in the sensitivity analysis. For this scenario, the results pointed to the project's economic viability. © 2023, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Data-Driven control and Behavior-Based control Applied to a SISO Mobile Robot

Data-Driven Control and Behavior-Based Control Applied to a ...

引用

IEEE Latin American Robotics Symposium, LARS

作者： M. A. Pastrana Karine R. Santos Alceu B. C. de Farias Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil Faculty of Gama Biomedical Engineering Graduate Program University of Brasilia Brasilia DF Brazil Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

With the advancement of technology, systems in many different areas of application have become more complex, and obtaining reliable mathematical models is a task that is increasingly becoming more difficult as well. To overcome these issues, new methodologies have emerged, such as the one known as Data-Driven-control (DDC), which uses the input and output data of the system to design a controller, and Behavior-Based-control (BBC), which provides the controller based on the desired behavior of a system. In this work, these two methodologies were applied to obtain the transfer function of a Single-Input Single-Output mobile robotic platform that moves parallel to a wall. A Proportional Integral Derivative controller was used to control the left wheel, while the right wheel was set to a constant speed, allowing the mobile robot to maintain a constant distance from the wall. The controller was tuned utilizing root locus methodology with an overshot of 16.7%, settling time of 6.45 seconds, and a static error of 2.1%. Additionally, disturbances were added to test the robustness of the mobile robot model and the PID controller.

关键词： Analytical models Biological system modeling Wheels Transfer functions Robot sensing systems control systems Mathematical models

来源：评论

学校读者我要写书评

暂无评论

Towards Real-Time Machining Tool Failure Forecast Approach for Smart Manufacturing Systems

引用

IFAC-PapersOnLine 2022年第2期55卷 548-553页

作者： Nicolas Nebelung Mario D.S. de Oliveira Santos Sofia T. Helena Athon F.C.S. de Moura Leite Matheus B. Canciglieri Anderson L. Szejka Control and Automation Engineering Department Pontifical Catholic University of Paraná (PUCPR) Curitiba Brazil Junior Scientific Initiation Program at the Nossa Senhora de Medianeira School and Pontifical Catholic University of Paraná Curitiba – Paraná Brazil Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Curitiba Brazil

Industry 4.0 is characterized by a dynamic market that constantly looking for new methods to optimize and integrate manufacturing processes. In this context, Artificial Intelligence has gained prominence in problem-solving, such as failure prediction and decision making, thus improving product quality, and consequently bringing competitiveness to the company. Aiming to contribute to this scenario, this research develops a data treatment system that, from an intelligent tool and an interoperable ontological model, automates the prediction and detection of failures in machining machines lines. The system was developed for the prediction of faults in machining lines includes an artificial intelligence formed from prediction algorithms and inferences, it is possible to guarantee the correct treatment and communication of data at different stages of the process. For the experimental research, was used data collected from a machining line of a public dataset. The information is collected and classified by Artificial Intelligence that supports a decision system. The prediction of tool wear would enable the system to infer the type of problem that is causing this wear, a possible root cause, and the needed maintenance based on the ontological inference tool. By this classification of data, it is possible to achieve, through inferences, a reduction in the decision scope, bringing the possible problems caused by the incoming value. The semantic interoperability ensures correct data exchange and processing, which generates a more assertive view of production failures. The system may help companies to increase their productive process by helping them identify future failures in production if applied in a real scenario.

关键词： Industry 4.0 Smart System Artificial Intelligence Machine Learning Ontology Machine Failure Forecast

来源：评论

学校读者我要写书评

暂无评论

AGV Detection in Industrial Environments through Computer Vision

AGV Detection in Industrial Environments through Computer Vi...

引用

IEEE Latin American Robotics Symposium, LARS

作者： Wilson Eduardo Barioni Igor Pardal Latini André Lazzaretti Marco Teixeira Flavio Neves Lucia Valeria Ramos De Arruda Automation and Advanced Control System Laboratory (LASCA) Graduate Program in Electrical and Computer Engineering (CPGEI) Universidade Tecnologica Federal do Parana (UTFPR) Curitiba Parana Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Automated Guided Vehicles (AGVs) are usual in industrial settings, with an increasing economic impact on processes. They move through numerous environments inside factories, commonly navigating long distances, while performing several activities. The constant detection of such vehicles, especially in cases of maintenance and safety, is a main issue in an industry setting. Usually, this information could be provided by a supervisory system, but many applications are not so large as to make such a system viable. Thus, a solution via machine learning and computer vision is developed in this work, by using simple cameras, such as the factories' security cameras. As the industrial environment is a scenario with a lot of variation and noise, the Transfer Learning technique is used to improve the training step of the developed AGV detection system. Finally, a database with 1067 images is used to build and validate the model, achieving a result greater than 80% of F1-score for various confidence values.

关键词： Training Computer vision Remotely guided vehicles Computational modeling Transfer learning Cameras Production facilities

来源：评论

学校读者我要写书评

暂无评论

Predicting the compressive strength of steelmaking slag concrete with machine learning - Considerations on developing a mix design tool

引用

CONSTRUCTION AND BUILDING MATERIALS 2022年 341卷

作者： Penido, Ruben El-Katib Paixa, Rafael Christian Fonseca da Costa, Lafs Cristina Barbosa Peixoto, Ricardo Andre Fiorotti Cury, Alexandre Abrahao Mendes, Julia Castro [a]Federal University of Ouro Preto – UFOP Department of Civil Engineering Ouro Preto Minas Gerais Brazil [b]Federal University of Ouro Preto – UFOP Department of Control and Automation Engineering Ouro Preto Minas Gerais Brazil [c]Federal University of Juiz de Fora – UFJF Graduate Program in Civil Engineering (PEC) Juiz de Fora Minas Gerais Brazil

Steelmaking slag has been extensively studied as aggregate for cement-based composites. Because of the distinct properties of this residue, traditional mix design methods are not suitable to determine its target compressive strength, which hinders research studies and compromises its use on a large scale. In this context, the present work aims to develop machine learning (ML)-based models to predict the compressive strength of steel slag concretes from their mix proportion. For this purpose, a global data survey on steel slag concretes was carried out to create a benchmark dataset. Then, four ML-based models were trained and cross-validated using this dataset: Support Vector Regression (SVR), Artificial Neural Networks (ANN), Extreme Gradient Boost (XGBoost), and Gaussian Process Regression (GPR). Finally, new steel slag concrete specimens were built and tested to experi-mentally validate the adjusted models. The model that achieved the best performance using the literature dataset was the ANN, with a R2 of 0.79. However, the experimental validation was not satisfactory - the GPR, XGBoost and SVR models presented negative R2 values. These results brought light to some pivotal aspects that must be considered when using ML techniques: i) the size and homogeneity of the dataset;ii) the proper choice of input parameters;and iii) the use of cross-validation to adjust the models. Hence, although such techniques are promising and powerful, care must be taken on the generalization of their predictions, especially when the available data is limited.

关键词： Steelmaking slag Compressive strength Concrete mixture Machine learning Experimental validation

来源：评论

学校读者我要写书评

暂无评论

Comparison between Line-Followers and Free Movement Robots in Tasks Execution in a Simulated Environment

Comparison between Line-Followers and Free Movement Robots i...

引用

IEEE Latin American Robotics Symposium, LARS

作者： Igor Pardal Latini Wilson Eduardo Barioni Marco Teixeira Flavio Neves-Jr Lucia Valeria Ramos de Arruda Universidade Tecnológica Federal do Paraná (UTFPR) Curitiba Parana Brazil Automation and Advanced Control System Laboratory (LASCA) Graduate Program in Electrical and Computer Engineering (CPGEI)

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

In Industry 4.0, there is a constant pursuit for efficiency and productivity, and, searching to achieve this, the usage of multiple robots to attend to several tasks simultaneously is usual. Nowadays, there is plenty of robotic architectures, having their navigation system based on numerous different sensors. This work compares the line-follower robots, having a determined path, with the free-moving robots that navigate based on odometry, for load collecting and delivery tasks in specific locations. For this, four simulated experiments are run in two scenes, with two and four tasks, respectively. The comparison is based on a difference in robot quantity, with more line-followers than free-moving ones, aiming to collect values such as idle time, task wait time, and the number of tasks done for each machine. The results show advantages in using less but more intelligent robots with free movement. Such robots are not bound to one unique task and can use their idle time to roam and complete other processes. However, the task wait time is a concerning issue, as too few robots for overcharged situations can increase execution delays.

关键词： Service robots Navigation Robot sensing systems Time measurement Sensor systems Sensors Delays

来源：评论

学校读者我要写书评

暂无评论

Sampled-Data Observer Design With Exponential Time-Varying Gains for Semilinear Parabolic PDE Systems

Sampled-Data Observer Design With Exponential Time-Varying G...

引用

2021 China automation Congress, CAC 2021

作者： Wang, Zi-Peng Wu, Huai-Ning Li, Han-Xiong Huang, Tingwen Shen, Tao The School of Electrical Engineering University of Jinan Jinan250022 China The Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Department of Systems Engineering and Engineering Management City University of Hong Kong Hong Kong The Science Program Texas A&M University at Qatar Doha Qatar The HIT Robot Group Co. Ltd China

ISBN: (纸本)9781665426473

For semilinear parabolic PDE systems, the sampled-data observer (SDO) design under spatially point measurements (SPMs) with exponential time-varying gains is concerned. On basis of a Lyapunov functional, a SDO with exponential time-varying gains under SPMs via linear matrix inequalities is presented to guarantee the exponential stability of estimation error PDE system. Lastly, two numerical examples are provided to support the proposed SDO design approach. © 2021 IEEE

关键词： Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

Intelligent sensors based on amorphous nanostructures according to achieve an optimal waste collection in Lima Peru

Intelligent sensors based on amorphous nanostructures accord...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： J. Alan Calderón Ch. E. Benjamín Barriga G. Julio C. Tafur Alan Ccarita John Lozano Rodrigo Urbizagástegui Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau Germany Engineering Department Mechatronics Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Mechanical Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Control Engineering and Automation Master Program Mechatronic Engineering Master Program Pontificia Universidad Católica del Perú Perú Northen (Artic) Federal University Named After MV Lomonosov Arkhangelsk Russian Federation Engineering Department Engineering Electronic Section Pontificia Universidad Católica del Perú Perú

ISBN: (纸本)9781665409858

An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste *** dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there

关键词： Temperature sensors Temperature measurement Waste management Gases Temperature dependence Urban areas Nanostructures

来源：评论

学校读者我要写书评

暂无评论

A Mixed Integer Linear programming Model for the Distribution of Transport Tasks Among Heterogeneous Robots in a Factory

A Mixed Integer Linear Programming Model for the Distributio...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： Igor Pardal Latini Wilson Eduardo Barioni Marco Teixeira Flavio Neves-Jr Lucia Valeria Ramos de Arruda CPGEI-UTFPR Curitiba Parana Brazil Universidade Tecnologica Federal do Parana (UTFPR) Curitiba Parana Brazil Automation and Advanced Control System Laboratory (LASCA) Graduate Program in Electrical and Computer Engineering (CPGEI) Pontificia Universidade Catolica do Parana (PUCPR) Curitiba Parana Brazil PPGla-PUCPR Curitiba Parana Brazil

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

The growing need for automation of factories and their processes determines a constant increase in the use of robots to carry out various tasks. Multiple robots can do different tasks simultaneously, speeding up processes. This practice raises the question of how many robots are needed to service the entire process, given all the limitations of the operation. One of these limitations is due to the navigation systems used by the several robots in the environment. Line-followers robots, for example, can only meet some tasks but are cheaper than free-movement ones. In this work, we develop an optimization model for task allocation among the available robots to minimize execution delays using mixed integer linear programming, considering their navigation systems. With the model, it is possible to obtain the best task allocation for each robot and the order to perform such tasks, thus avoiding delays as much as possible and getting zero delays for the presented case, that emulates the process of a vehicle assembler factory line.

关键词： Service robots Navigation Search problems Production facilities Delays Mixed integer linear programming Batteries

来源：评论

学校读者我要写书评

暂无评论

Improved Gain-Scheduled control Design for Rational Nonlinear Discrete-Time Systems with Input Saturation

Improved Gain-Scheduled Control Design for Rational Nonlinea...

引用

European control Conference (ECC)

作者： Gabriela L. Reis Rodrigo F. Araú jo Leonardo A. B. Tô rres Reinaldo M. Palhares Department of Technological Education Graduate Program in Electrical Engineering Federal University of Minas Gerais Federal Institute of Southeast Minas Gerais Minas Gerais Brasil Department of Control and Automation Engineering Amazonas State University Amazonas Brazil Department of Aerospace Engineering California Polytechnic State University CA USA Department of Electronics Engineering Federal University of Minas Gerais Minas Gerais Brazil

ISBN: (数字)9783907144077

ISBN: (纸本)9781665497336

An improved method of control design for rational nonlinear discrete-time systems with input saturation is proposed in this paper. Using Difference-Algebraic Representation (DAR) and parameter-dependent Lyapunov functions, a novel regional stabilization condition in terms of Linear Matrix Inequalities (LMI) is presented. Two optimization problems are addressed to either obtain the largest estimated Domain of Attraction (DoA) or minimize the $\ell_{2}$ -gain from the energy-bounded disturbance input to the performance output. Numerical examples illustrate the potential of the proposed approach.

关键词： Discrete-time systems Direction-of-arrival estimation control design Finance Europe Estimation Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：